DocumentCode :
1790432
Title :
A vector-sensor based approach to noise monitoring in Galway Bay
Author :
Akhriev, Albert ; Sheehan, John ; Barry, Michael G. ; Purcell, Mark E. ; Kolar, Harry R.
Author_Institution :
IBM Res., Dublin, Ireland
fYear :
2014
fDate :
14-19 Sept. 2014
Firstpage :
1
Lastpage :
6
Abstract :
The goal of this analysis is the separation of artificial sound from the ambient or background soundscape in real-time via singular value decomposition of a 3×3 covariance matrix obtained from the set of vector measurements sourced from a particle velocity sensor. The summary noise power is then computed for each octave band, and this is used to detect the presence of artificial, polluting sound sources.
Keywords :
oceanographic techniques; underwater sound; Galway Bay; ambient soundscape; artificial sound; background soundscape; covariance matrix; noise monitoring; octave band; particle velocity sensor; polluting sound sources; singular value decomposition; summary noise power; vector measurements; vector-sensor based approach; Acoustics; Covariance matrices; Monitoring; Noise; Noise measurement; Sonar equipment; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Oceans - St. John's, 2014
Conference_Location :
St. John´s, NL
Print_ISBN :
978-1-4799-4920-5
Type :
conf
DOI :
10.1109/OCEANS.2014.7003251
Filename :
7003251
Link To Document :
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